DCM INFOTECH LIMITED
Senior Product Manager - AI & Agentforce , Digital Success Engineering
DCM INFOTECH LIMITED, San Francisco, California, United States, 94199
Job Title: Senior Product Manager - AI & Agentforce , Digital Success Engineering
Location: San Franscisco, Bay Area (Hybrid 2 days in office)
Client : Salesforce
Interview Process - Minimum 4 rounds of interview.
Important Skills
(Must Have):
Strong understanding of Salesforce ecosystem
( Must have) Work with AI/ML teams experience in Product Management, ideally in B2B SaaS Experience in Learning Technology or learning management system
About the Role: We are looking for a Senior Product Manager to lead the strategy, development, and execution of AI-driven agent experiences within the Agentforce platform. This role is ideal for someone who thrives at the intersection of product innovation, customer success, and intelligent automation. You'll play a pivotal role in transforming how users Client and consume support using AI-powered digital agents across channels like Slack, web, and mobile. As part of the Digital Success Engineering team , you will collaborate cross-functionally with business product, engineering, design, data science, and multiple stakeholders to shape our next-generation agent experience. If you are passionate about building AI solutions that drive customer success, learning efficiency, and smart automation-this is the role for you.
Key Responsibilities: Product Strategy & Execution
Define and execute the product vision and roadmap for Agentforce's AI-powered agents. Partner closely with engineering and design to build scalable, personalized digital agent experiences. Balance technical depth with user empathy to prioritize features that solve real user problems with measurable impact.
AI/Agent Experience
Work with AI/ML teams to define intelligent agent capabilities-retrieval-augmented generation (RAG), context awareness, feedback loops, and multi-channel orchestration. Shape the intent taxonomy and utterance library to train and optimize agent performance. Collaborate with evaluators and data science partners to drive ongoing improvement through qualitative and quantitative analysis. Cross-Functional Collaboration
Align business needs with platform capabilities by working across teams including Engineering, UX, Customer Success, and Enablement. Partner with stakeholders to define and measure success criteria, ensuring a high-quality user experience at launch and beyond. Drive global go-to-market readiness and support strategies.
Delivery & Lifecycle Ownership
Lead discovery workshops, write user stories, define acceptance criteria, and prioritize backlogs. Partner with QA and UAT teams to ensure release quality and compliance. Monitor performance post-launch and iterate rapidly based on feedback and insights.
Required Qualifications:
10+ years of experience in Product Management, ideally in B2B SaaS, AI, or enterprise platforms. Experience working on AI-enabled products, conversational agents, or large-scale support experiences. Strong understanding of Salesforce ecosystem, Trailhead/Trailhead acadmey, or similar customer education technologies. Proven success in shipping customer-facing products with measurable adoption and satisfaction. Excellent storytelling, prioritization, and decision-making skills; able to balance technical depth with business impact. Experience working with cross-functional global teams in Agile/Scrum environments. Preferred Qualifications
Familiarity with LLM-powered chatbots, RAG architectures, or agent frameworks (e.g., LangChain, Agentforce, Einstein Copilot). Salesforce Certified (Administrator, Business Analyst, or AI Associate). Experience with data analysis tools (e.g., Tableau, GA4, Mixpanel) to drive product insights and Data cloud. Previous experience in learning technology, enablement, or customer success tooling is a plus.
Important Skills
(Must Have):
Strong understanding of Salesforce ecosystem
( Must have) Work with AI/ML teams experience in Product Management, ideally in B2B SaaS Experience in Learning Technology or learning management system
About the Role: We are looking for a Senior Product Manager to lead the strategy, development, and execution of AI-driven agent experiences within the Agentforce platform. This role is ideal for someone who thrives at the intersection of product innovation, customer success, and intelligent automation. You'll play a pivotal role in transforming how users Client and consume support using AI-powered digital agents across channels like Slack, web, and mobile. As part of the Digital Success Engineering team , you will collaborate cross-functionally with business product, engineering, design, data science, and multiple stakeholders to shape our next-generation agent experience. If you are passionate about building AI solutions that drive customer success, learning efficiency, and smart automation-this is the role for you.
Key Responsibilities: Product Strategy & Execution
Define and execute the product vision and roadmap for Agentforce's AI-powered agents. Partner closely with engineering and design to build scalable, personalized digital agent experiences. Balance technical depth with user empathy to prioritize features that solve real user problems with measurable impact.
AI/Agent Experience
Work with AI/ML teams to define intelligent agent capabilities-retrieval-augmented generation (RAG), context awareness, feedback loops, and multi-channel orchestration. Shape the intent taxonomy and utterance library to train and optimize agent performance. Collaborate with evaluators and data science partners to drive ongoing improvement through qualitative and quantitative analysis. Cross-Functional Collaboration
Align business needs with platform capabilities by working across teams including Engineering, UX, Customer Success, and Enablement. Partner with stakeholders to define and measure success criteria, ensuring a high-quality user experience at launch and beyond. Drive global go-to-market readiness and support strategies.
Delivery & Lifecycle Ownership
Lead discovery workshops, write user stories, define acceptance criteria, and prioritize backlogs. Partner with QA and UAT teams to ensure release quality and compliance. Monitor performance post-launch and iterate rapidly based on feedback and insights.
Required Qualifications:
10+ years of experience in Product Management, ideally in B2B SaaS, AI, or enterprise platforms. Experience working on AI-enabled products, conversational agents, or large-scale support experiences. Strong understanding of Salesforce ecosystem, Trailhead/Trailhead acadmey, or similar customer education technologies. Proven success in shipping customer-facing products with measurable adoption and satisfaction. Excellent storytelling, prioritization, and decision-making skills; able to balance technical depth with business impact. Experience working with cross-functional global teams in Agile/Scrum environments. Preferred Qualifications
Familiarity with LLM-powered chatbots, RAG architectures, or agent frameworks (e.g., LangChain, Agentforce, Einstein Copilot). Salesforce Certified (Administrator, Business Analyst, or AI Associate). Experience with data analysis tools (e.g., Tableau, GA4, Mixpanel) to drive product insights and Data cloud. Previous experience in learning technology, enablement, or customer success tooling is a plus.